classification-techniques

Sentiment analysis of 1.6M tweets using PySpark. Implemented a pipeline to extract features and train models to classify tweets into positive, neutral, and negative polarities. Evaluated the performance of selected algorithms.

This project includes both Diabetes Prediction using Machine Learning Algorithms and Graph Analysis using Neo4j. Have a look at the Report for complete understanding.